by
akc
• New Contributor III
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I have a workflow with a model which trains every sunday in Azure Databricks. Sometimes the workflow fails as the max wait time is exceeded (currently I am using 1200 seconds). To solve the problem I was thinking of either increasing the wait time or...
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Latest Reply
Hi @Andreas Kaae Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers ...
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by
vizoso
• New Contributor III
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Cluster list in Microsoft.Azure.Databricks.Client fails because ClusterSource enum does not include MODELS.When you have a model serving cluster, ClustersApiClient.List method fails to deserialize the API response because that cluster has MODELS as C...
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My dataset has an "item" column which groups the rows into many groups. (Think of these groups as items in a store.) I want to fit 1 ML model per group. Should I tune hyperparameters for each group separately? Or should I tune them for the entire...
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Latest Reply
For the first question ("which option is better?"), you need to answer that via your understanding of the problem domain.Do you expect similar behavior across the groups (items)?If so, that's a +1 in favor of sharing hyperparameters. And vice versa....